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Amir Limame

Computer Science Student | Software Engineer & IT Support

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About Me

I am a Computer Science student at Saint Leo University (Class of May 2027), maintaining a 3.6 GPA. I have hands-on experience as a freelance IT Support Technician.

My expertise spans across Windows Systems Administration, Network Troubleshooting, and Software Engineering. I enjoy solving complex technical issues, deploying robust systems, and building highly optimized software.

Software & Dev

Python Java C/C++ SQL Swift Shell Git/GitHub

IT & SysAdmin

Windows 10/11 Basic Linux BIOS/UEFI Hardware Diag OS Deployment TCP/IP

Certifications

CompTIA A+ (In Progress)

Professional Experience

Freelance IT Support Technician

2023 – Present | Remote
  • Provided remote troubleshooting for Windows PCs, resolving boot failures, driver conflicts, and system instability.
  • Performed BIOS/UEFI configuration and addressed hardware compatibility issues.
  • Created/repaired Windows installation media and completed clean OS installations.
  • Optimized performance via startup/service tuning and comprehensive driver updates.
  • Assisted with SSD migrations, RAM upgrades, and necessary post-upgrade configurations.
  • Delivered on-call support and actionable user guidance on maintenance and updates.

Featured Projects

Vidcord

Tauri Rust React FFmpeg

A cross-platform GUI application automating complex FFmpeg operations for video compression and transcoding.

  • Architected a fast, lightweight, cross-platform GUI application using Tauri (Rust + React) to automate complex FFmpeg operations for compressing videos under Discord's specific size limits.
  • Engineered multi-vendor hardware acceleration support (NVIDIA NVENC, AMD AMF, Intel QSV, Apple VideoToolbox) and implemented a modern interface featuring an adjustable video trimmer with live previews.
  • Automated the full cross-platform CI/CD pipeline using GitHub Actions to seamlessly build and package highly optimized (~10 MB) releases for Windows, macOS, and Linux.

Gemini-Watch

SwiftUI watchOS Google Gemini API

A native watchOS application providing a seamless AI chatbot experience on Apple Watch utilizing the Google Generative AI SDK.

  • Optimized API request handling with Swift Concurrency to maintain UI responsiveness on wearables.
  • Designed a lightweight, "glanceable" interface focused on efficient text input and readable AI output.
  • Implemented a secure storage system for API credentials management.